| Literature DB >> 35007825 |
Aditya Sharma1, Gina Oda2, Michael Icardi3, Larry Mole4, Mark Holodniy5.
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presented numerous operational challenges to healthcare delivery networks responsible for implementing large scale detection of Coronavirus Disease 2019 (COVID-19), the infection caused by SARS-CoV-2. We describe testing performance, review data quality metrics, and summarize experiences during the scale up of laboratory-based detection of COVID-19 in the Veterans Health Administration, the largest healthcare system in the United States. During March 2020 to February 2021, we observed rapid increase in testing volume, decreases in test turnaround time, improvements in testing of hospitalized persons, changes in test positivity, and varying utilization of different tests. Though performance metrics improved over time, surges challenged testing capacity and data quality remained suboptimal. Future planning efforts should focus on fortifying supply chains for consumables and equipment repair, optimizing distribution of testing workload across laboratories, and improving informatics to accurately monitor operations and intent for testing during a public health emergency. Published by Elsevier Inc.Entities:
Keywords: COVID-19; Laboratory performance; Surveillance
Mesh:
Year: 2021 PMID: 35007825 PMCID: PMC8665666 DOI: 10.1016/j.diagmicrobio.2021.115617
Source DB: PubMed Journal: Diagn Microbiol Infect Dis ISSN: 0732-8893 Impact factor: 2.803
Fig. 1Metrics of SARS-CoV-2 tests performed in Veterans Health Administration, March 2020 to February 2021. (A) Total monthly tests performed. (B) Monthly tests performed by location of performing laboratory. “Outside VISN” and “within VISN” describe whether the test performed in a VHA laboratory locate in a different or the same VISN as that in which the specimen was collected. (C) Monthly tests performed by type of patient. (D) Monthly tests performed by setting where specimen was collected. VISN = Veterans Integrated Health System. VHA = Veterans Health Administration.
Fig. 2Selected metrics of SARS-CoV-2 testing in Veterans Health Administration, March 2020 to February 2021. (A) Percentage of overall tests that were performed at the Public Health Reference Laboratory (PHRL). (B) Percentage of hospitalized persons tested for SARS-Cov-2 by PCR or antigen tests.
Fig. 3Longitudinal characteristics of SARS-CoV-2 tests performed in Veterans Health Administration, March 2020 to February 2021. (A) Test positivity among unique persons tested by month. (B) Monthly median turnaround time.
Key data quality metrics among SARS-Cov-2 tests performed in Veterans Health Administration, March 2020 to February 2021.
| Test | Mar 2020 | Apr 2020 | May 2020 | Jun 2020 | Jul 2020 | Aug 2020 | Sep 2020 | Oct 2020 | Nov 2020 | Dec 2020 | Jan 2021 | Feb 2021 | Overall |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ANTIBODY | 3 | 10 | 38 | 50 | 48 | 65 | 66 | 60 | 69 | 79 | 81 | 104 | 141 |
| ANTIGEN | - | - | - | - | - | - | - | - | 5 | 29 | 44 | 46 | 54 |
| PCR | 218 | 277 | 253 | 257 | 273 | 264 | 269 | 304 | 340 | 353 | 298 | 267 | 652 |
| ANTIBODY | 100.0% | 100.0% | 76.4% | 62.2% | 44.4% | 40.8% | 43.3% | 49.1% | 50.5% | 58.4% | 61.4% | 62.5% | 54.2% |
| ANTIGEN | - | - | - | - | - | - | - | - | 48.2% | 27.0% | 37.4% | 43.0% | 39.2% |
| PCR | 4.1% | 1.5% | 1.4% | 2.0% | 2.1% | 5.1% | 5.3% | 15.5% | 33.4% | 57.6% | 63.5% | 66.4% | 28.4% |
| ANTIBODY | 0.0% | 20.1% | 31.0% | 67.5% | 49.9% | 38.0% | 41.1% | 47.8% | 52.3% | 52.9% | 53.5% | 53.3% | 49.8% |
| ANTIGEN | - | - | - | - | - | - | - | - | 88.5% | 85.2% | 92.3% | 94.3% | 92.6% |
| PCR | 11.4% | 32.3% | 46.2% | 42.6% | 45.9% | 49.7% | 52.3% | 52.1% | 47.4% | 44.8% | 45.7% | 49.9% | 47.0% |
| ANTIGEN | - | - | - | - | - | - | - | - | 0.0% | 10.4% | 14.4% | 14.3% | 14.0% |
| PCR | 3.1% | 9.3% | 10.4% | 13.3% | 13.0% | 14.4% | 14.2% | 14.0% | 13.3% | 17.3% | 19.8% | 20.3% | 15.1% |
Factors contributing to reduced laboratory testing capacity during enterprise scale response to public health emergencies.
| Phase | Factor |
|---|---|
| Initial phase | Procurement of instruments and supplies |
| Establishing contracts for instrument upkeep, repair, and replacement | |
| Establishing contracts for procurement and delivery of consumables | |
| Competing for procurement of limited resources with external laboratories | |
| Installation of new instruments in laboratories | |
| Hiring, onboarding, and training laboratory staff | |
| Managing space constraints due to newly procured equipment | |
| Mature phase | Repair or replacement of broken instruments |
| Disruptions in supply chains for consumables | |
| Disruptions in availability of transportation vendors | |
| Managing staff turnover | |
| Adapting to changes in testing recommendations by health agencies | |
| Responding to acute, disproportionate demand for testing due to regional outbreaks | |
| Managing space constraints due to surges in testing |